Run: 2026-02-17-01KHMPCDC6YBARJG56NRWFSMXE

Run Details

Duration:
22.3s
Cost:
$0.001350
Provider:
Novita

Model input

System
You are an expert novelist with a gift for vivid, immersive prose. You write in tight third-person limited point of view with a strong narrative voice. Your prose is clean, precise, and engaging — you favor strong verbs, concrete details, and natural-sounding dialogue. You will be given a story bible (codex) containing canonical details about characters, locations, items, and lore. Use these details to ground your writing in the established world. Stay consistent with the codex. Write only the prose of the scene. Do not include titles, chapter headings, markdown formatting, or any commentary before or after the scene.
User/Human
<codex> <character id="4416" name="Detective Harlow Quinn" aliases="Quinn, Detective Quinn, Harlow" pronouns="she/her" species="Human" storyRole="Antagonist"> <eyeColor>brown</eyeColor> <hair>closely cropped salt-and-pepper</hair> <height>5'9"</height> <age>41</age> <jawline>sharp jaw</jawline> <watch>worn leather watch on her left wrist</watch> <bearing>military precision</bearing> <description>A Metropolitan Police detective with 18 years of decorated service who suspects the clique is involved in criminal activity.</description> <backstory>She lost her partner, DS Morris, during a case three years ago under unexplained circumstances that had supernatural origins she doesn't yet understand.</backstory> </character> <character id="4417" name="Tomás Herrera" aliases="Tommy, Tomás, Herrera" pronouns="he/him" species="Human" storyRole="Support"> <eyeColor>warm brown</eyeColor> <hair>short curly dark brown</hair> <height>5'10"</height> <age>29</age> <skinTone>olive skin</skinTone> <scar>scar running along his left forearm from a knife attack</scar> <medallion>Saint Christopher medallion around his neck</medallion> <birthplace>Seville, Spain</birthplace> <description>A former paramedic who provides off-the-books medical care for the clique.</description> <backstory>Born in Seville, Spain. He moved to London to work for the NHS but lost his license after administering unauthorized treatments to supernatural patients.</backstory> </character> <location id="854" name="The Raven's Nest" aliases="the Nest, Raven, Silas' bar" realm="Earth"> <signColor>distinctive green neon sign above the entrance</signColor> <secretRoom>hidden back room accessible through a bookshelf, used for clandestine meetings</secretRoom> <description>A dimly lit bar in Soho, London. The walls are covered with old maps and black-and-white photographs.</description> </location> <location id="856" name="The Veil Market" aliases="Veil Market, the Market, underground market" realm="Earth"> <currentLocation>abandoned Tube station beneath Camden</currentLocation> <entryRequirement>bone token</entryRequirement> <schedule>moves locations every full moon</schedule> <description>A hidden supernatural black market that sells enchanted goods, banned alchemical substances, and information.</description> </location> </codex> Write a fully fleshed out scene of at least 1000 words in the thriller genre. A detective is pursuing a suspect through rain-soaked city streets at night. The chase takes them from the street level down into an underground market. The detective must decide whether to follow the suspect into unfamiliar and potentially dangerous territory. Use the codex entries above as your world reference for characters and setting. Only include the prose of the scene without any markdown or commentary.

Model response

AI
The rain came down in sheets, turning the Soho streets into a shimmering maze of neon reflections and oily puddles. Detective Harlow Quinn sprinted after the figure in the dark hoodie, her breath coming in sharp bursts that fogged the cold air. Her worn leather watch slapped against her wrist with every stride, the salt-and-pepper strands of her cropped hair plastered to her sharp jaw. "Met Police! Stop!" The suspect didn't even glance back. He darted around a corner, his sneakers splashing through the gutter. Quinn cursed under her breath, pushing harder. She'd been staking out The Raven's Nest for hours, waiting for this bastard—one of Silas' runners—to make a move. Now he was leading her on a damn tour of London's underbelly. The green neon sign of the bar flickered behind her as she rounded the corner. The runner was fast, but Quinn had eighteen years of chasing scumbags through these streets. She closed the gap as they hit an alleyway, her boots skidding on wet brick. The runner yanked open a rusted service door and vanished inside. Quinn didn't hesitate. She shouldered through after him, into a narrow stairwell reeking of mildew and something sharper—ozone, maybe, or old magic. The runner's footsteps echoed below, descending into darkness. Her hand went to her hip, fingers brushing the grip of her service weapon. She didn't draw it. Not yet. The stairs spilled out into an abandoned Tube station, its tiled walls slick with condensation. The air hummed with low voices and the clatter of goods being bartered. Stalls lined the platform, their awnings strung with fairy lights that did little to dispel the gloom. The Veil Market. Quinn had heard whispers about this place. A black market for the things that went bump in the night. Her pulse kicked up. The runner weaved through the crowd, slipping past a vendor hawking vials of something that glowed faintly blue. Quinn followed, her military-trained eyes cataloging exits, threats, the way the shadows seemed to shift just wrong at the edges of her vision. A hand caught her arm. She spun, ready to strike—but it was just a man. Olive skin, dark curls, a scar running down his forearm. He wore a Saint Christopher medallion at his throat. "You're not supposed to be here," he said, voice low. His accent curled around the edges—Spanish, maybe. Quinn jerked her arm free. "Metropolitan Police. Step aside." The man—Tomás, his name tag said—didn't flinch. "You don't have jurisdiction here, Detective. And you don't have a token." He nodded toward the bone charms some of the patrons wore around their wrists. "They'll eat you alive if they find out you're not one of them." Quinn's gaze flicked back to where the runner had disappeared into the crowd. Gone. Again. She could push forward. Demand answers. But the weight of the market pressed in around her—too many eyes, too many teeth in the dark. Three years ago, Morris had chased a lead into something he didn't understand. He'd ended up in a morgue with his insides turned to glass. Quinn exhaled through her nose. "Fine." Tomás relaxed slightly. "Smart choice." She didn't thank him. Just turned on her heel and climbed back toward the rain, the neon, the world that made sense. But she'd be back. With a warrant. With backup. And next time, she wouldn't stop at the threshold.
created_at"2026-02-17T02:20:54.807212+00:00" 2/17/2026, 2:20:54 AM
model"deepseek/deepseek-chat-v3"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency979
moderation_latency(null)
generation_time22205
tokens_prompt914
tokens_completion883
native_tokens_prompt826
native_tokens_completion784
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.0013496
router(null)
provider_responses
0
id"a55c7415bfeef03b2667a06106937bca"
status200
is_byokfalse
latency976
endpoint_id"cefb5a1e-9fea-4496-9a64-4e1b11a7cc8c"
provider_name"Novita"
model_permaslug"deepseek/deepseek-chat-v3"
api_type"completions"
id"gen-1771294832-ekMVJt2ZBfALMxBPAAkm"
upstream_id"a55c7415bfeef03b2667a06106937bca"
total_cost0.0013496
cache_discount(null)
upstream_inference_cost0
provider_name"Novita"

Evaluation details

Result Evaluator Details Meta Data
100.0000% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags1
adverbTagCount0
adverbTags(empty)
82.5480% AI-ism adverb frequency
Target: <1% AI-ism adverbs (57 tracked)
wordCount573
totalAiIsmAdverbs1
found
0
adverb"slightly"
count1
highlights
0"slightly"
100.0000% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found(empty)
100.0000% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
12.7400% AI-ism word frequency
Target: <1% AI-ism words (140 tracked)
wordCount573
totalAiIsms5
found
0
word"flickered"
count1
1
word"flicked"
count1
2
word"weight"
count1
3
word"footsteps"
count1
4
word"echoed"
count1
highlights
0"flickered"
1"flicked"
2"weight"
3"footsteps"
4"echoed"
100.0000% Cliche density
Target: ≤1 cliche(s) per 800-word window
totalCliches0
maxInWindow0
found(empty)
highlights(empty)
100.0000% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences52
matches(empty)
100.0000% Filter word density
Target: ≤12% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences52
filterMatches
0"watch"
hedgeMatches
0"seemed to"
100.0000% Overuse of "that" (subordinate clause padding)
Target: ≤10% sentences with "that" clauses
thatCount0
totalSentences57
matches(empty)
100.0000% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs22
mean25.55
std18.26
cv0.715
sampleLengths
065
13
255
356
430
520
648
723
841
95
1029
1117
129
1346
1415
1524
1625
176
185
1922
209
219
100.0000% Passive voice overuse
Target: ≤5% passive sentences
passiveCount1
totalSentences52
matches
0"being bartered"
100.0000% Past progressive (was/were + -ing) overuse
Target: ≤10% past progressive verbs
pastProgressiveCount1
totalVerbs87
matches
0"was leading"
100.0000% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount532
adjectiveStacks0
stackExamples(empty)
adverbCount16
adverbRatio0.03007518796992481
lyAdverbCount4
lyAdverbRatio0.007518796992481203
100.0000% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences57
echoCount0
echoWords(empty)
100.0000% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences57
mean9.86
std6.62
cv0.672
sampleLengths
020
122
223
33
46
511
67
719
812
915
1015
1115
1211
133
1419
158
1614
174
182
1915
2013
2117
223
237
2412
254
2618
2723
285
2910
3010
319
3210
337
345
354
367
3726
3813
3913
401
411
424
432
4418
4513
4612
475
481
493
73.6842% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.47368421052631576
totalSentences57
uniqueOpeners27
0.0000% Dialogue tag variety (said vs. fancy)
Target: ≤30% fancy dialogue tags
totalTags1
fancyCount1
fancyTags
0"he said, voice low (say, voice)"
86.4101%